Tool Use - AI Conversations

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Are AI web browsers falling short of the hype? Enter Rover, a revolutionary open-source AI agent that unlocks full autonomous workflows directly on your website with just a single script tag. In this episode, Arjun and Bhavani from rtrvr return to dive deep into how Rover uses a unique DOM-only approach to navigate, click, and type with subsecond latency. This innovative method completely bypasses slow screenshot-based models and outdated playwright or puppeteer scripts. We discuss the engineering secrets behind building smart DOM trees, why they crushed web benchmarks, and how Rover provides a powerful alternative to Google's Web MCP by keeping users engaged on your site instead of handing traffic over to external AI tools. Plus, learn how you can trigger complex agentic workflows via simple URL queries and why open-sourcing this technology is a massive win for the developer community.
Rover links:https://x.com/rtrvrairover.rtrvr.ai
Github: https://github.com/rtrvr-ai/rover
Rover Deep dive: https://www.rtrvr.ai/blog/10-billion-proof-point-every-website-needs-ai-agent
Benchmark: https://www.rtrvr.ai/blog/web-bench-results
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https://x.com/MikeBirdTech
https://x.com/rtrvrai
00:00:00 - Intro
00:03:05 - The DOM-Only Approach vs Screenshots for AI Agents
00:06:00 - Parsing HTML vs Markdown for Reliable LLM Data
00:11:47 - Handling Modals, iFrames, and Canvas Elements
00:15:32 - Implementing AI Guardrails and Extracting User Intent Data
00:28:04 - Rover vs Google Web MCP for Website Automation
00:31:25 - Triggering Autonomous AI Workflows via URL Queries
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Tool Use is a weekly conversation with the top AI experts.

Join the Tool Use Discord: https://discord.gg/PnEGyXpjaX

In 2026, building an AI product is easier than ever, but getting traction and finding customers is the real challenge. In episode 82 of Tool Use, we sit down with Mano Tsiris, a serial exited founder and head of growth at Optimal AI, to break down the ultimate go-to-market strategy for technical founders and builders. Discover how to validate your startup ideas and talk to users before writing a single line of code. Mano shares his proven marketing playbook, including how to build in public on LinkedIn, repurpose content using AI tools like Gemini and Claude Code, and leverage IRL events to grow your network. Whether you are bootstrapping a side project or trying to get your first hundred users, this conversation is packed with actionable advice on distribution, audience building, and standing out in a crowded market.

Mano Tsiris on LinkedIn: https://www.linkedin.com/in/emanueltsiris
Optimal AI: https://getoptimal.ai

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00:00:00 - Intro
00:03:53 - Mindset Shift: From AI Builder to SaaS Seller
00:09:21 - Building in Public & Thought Leadership Strategies
00:11:21 - Repurposing Content & SEO with AI Tools
00:22:12 - A/B Testing & Finding Viral Hooks with Gemini
00:26:56 - Startup Ideation: How to Validate SaaS Ideas Before Building
00:37:02 - The Ultimate AI Marketing Tech Stack for Founders

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Tool Use is a weekly conversation with the top AI experts.

Join the Tool Use Discord: https://discord.gg/PnEGyXpjaX

Are you looking to optimize your AI applications with the best open source Large Language Models? This week, we explore open source AI, rapid model switching, and local self-hosting with Nathan Break, a Machine Learning Engineer at Mozilla AI and the creator of Any-LLM. Any-LLM is an open-source Python SDK that allows developers to seamlessly talk to any LLM provider through a single, unified interface.

Nathan demonstrates how developers can instantly swap between cloud-hosted AI providers and local models like Llamafile by changing just a single line of code. We dive into the growing capabilities of smaller, cost-effective models, how to reduce your API expenses, and the security benefits of running local AI on your own hardware. Nathan also introduces the Any-LLM Platform, a secure vault for managing API keys that tracks your token usage and enforces budget limits without ever accessing your prompt data. Finally, we check out Porch Songs, Nathan's open-source application that leverages LLMs to rewrite the lyrics of popular songs while maintaining their original rhyme schemes and chord charts.

Check out the projects mentioned in this episode:
Any-LLM GitHub: https://github.com/mozilla-ai/any-llm
Any-LLM Platform: https://any-llm.ai
Mozilla AI Blog Post: https://blog.mozilla.ai/introducing-any-llm-a-unified-api-to-access-any-llm-provider
Porch Songs GitHub: https://github.com/njbrake/porchsongs

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00:00:00 - Intro
00:01:25 - What is Any-LLM? Unified API for Open Source AI
00:05:32 - Benefits of Rapid Model Switching & Open Weight Models
00:11:06 - Any-LLM Python SDK Demo: Mistral Image Recognition
00:19:51 - Best Local AI Models: Llamafile, LM Studio & Local LLMs
00:24:38 - Any-LLM Platform Vault & Porch Songs App Demo
00:34:45 - AI Coding Agents, Claude Code & LLM Evaluations

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Tool Use is a weekly conversation with the top AI experts.

Join the Tool Use Discord: https://discord.gg/PnEGyXpjaX

Are you putting your business at risk by relying on big AI companies? In this episode of the Tool Use podcast, we dive deep into Sovereign AI with Max McCrea, founder of Greyhaven. We explore how businesses can maintain control of their private data while still benefiting from AI. Max breaks down the importance of self-hosting and building architectures that abstract away the model provider so you can easily swap them out. We also discuss practical AI architecture decisions, the dangers of un-sandboxed AI agents, and how to set up software-defined sandbox environments to reduce the attack surface. Whether you are curious about running open source models or replacing proprietary tools, this episode provides a guide to taking back control of your systems.

Guest Links:
https://greyhaven.co
https://maxmccrea.com
https://github.com/GreyhavenHQ

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00:00:00 - Intro
00:12:17 - AI Context Management & Personal Data Indexing
00:20:40 - Open Source Replacements vs Proprietary SaaS Tools
00:29:14 - Corporate AI Data Harvesting & Vendor Lock-in
00:49:18 - LLM Orchestration & AI System Architecture
00:53:24 - Best Open Source AI Models for Self-Hosting

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Tool Use is a weekly conversation with the top AI experts.

Join the Tool Use Discord: https://discord.gg/PnEGyXpjaX

Vector databases can be an important component for building reliable AI agents and scalable semantic search applications. In this episode, Arjun Patel from Pinecone breaks down how to optimize your RAG pipeline, choose the right embedding models (sparse vs. dense), and implement effective chunking strategies for better data retrieval. We also explore the new Pinecone plugin for Claude Code, demonstrating how to build a recommendation system and chat with your documents using Pinecone Assistant without writing complex code.

https://www.pinecone.io/
https://www.linkedin.com/in/arjunkirtipatel/

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00:00:00 - Intro
00:01:11 - What Vector Databases Unlock
00:04:40 - Optimal Chunking Strategies for RAG
00:09:07 - How Embedding Models Work
00:17:25 - Improving Search with Re-ranking
00:26:52 - SQL vs Vector Database Architecture
00:35:48 - Claude Code & Pinecone Assistant Demo

Subscribe for more insights on AI tools, productivity, and vector databases.

Tool Use is a weekly conversation with the top AI experts.